Author

Sangram Prusty

Boston UniversityORCID 0000-0003-3582-1792Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Approach:mechanistic / dynamical model· 1 Approach:statistical model· 1

Frequent Co-Authors

Asanga BandaraiD· 1 shared Elizabeth A. MilleriD· 1 shared Ellen Smith· 1 shared George Anthony PantelopulosiD· 1 shared Jens JanuschkeiD· 1 shared John E. StraubiD· 1 shared María Dolores Pejenaute‐OchoaiD· 1 shared Niamh Riley· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

Asanga BandaraORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintAug 5, 2026

Bilayer thickness and transmembrane domain dynamics drive directional ER-Golgi traffic via Erv14/cornichon

Xiaohan Li, Sangram Prusty, Nicolas Loyer…·Elizabeth A. Miller

The paper shows that Erv14/cornichon receptor dynamics and bilayer thickness influence directional ER-Golgi traffic through a mechanism called HEIST.

1 citation

mechanistic / dynamical modelcell signaling & trafficking

𝕏 PostBluesky

BiophysicsJournal of Chemical Theory and ComputationPeer-reviewedMay 15, 2025

Exploring the kinetics and mechanism of phase separation in ternary lipid mixtures containing APP C99 using atomistic vs coarse-grained MD simulations

George Anthony Pantelopulos, Sangram Prusty, Asanga Bandara, John E. Straub

This study uses atomistic and coarse-grained MD simulations to investigate the kinetics and mechanism of phase separation in ternary lipid mixtures containing APP C99, identifying three distinct time regimes.

6 citations

deep learningstatistical model

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